Senior Data Scientist

Bank Islam Malaysia Berhad; Kuala Lumpur; On-site; MYR 80,000 - 100,000; Full time

Job summary

A leading financial institution in Kuala Lumpur is seeking a qualified candidate to drive analytics initiatives. The role involves performing business analysis, statistical analytics, and developing data models using advanced tools. Candidates should have a degree in a related field and 5-7 years of experience. The ideal applicant will be skilled in Python, Spark, and Tableau, with strong project management abilities. This position offers the opportunity to enhance data-driven decision-making.

Qualifications

• Minimum 5-7 years of experience in analytics-related roles.
• Strong academic qualifications with an advanced degree in a quantitative discipline.
• Extensive experience in business systems analysis and business intelligence.

Responsibilities

• Perform requirement gathering and problem statement literature review.
• Conduct data analysis, apply statistical methods, and visualize results.
• Develop models using advanced machine learning techniques.
• Manage projects, prioritize tasks, and engage with stakeholders.

Skills

Data Analytics

Data Visualization

Statistical Analysis

Machine Learning

Project Management

Education

Degree in Data Science, Computer Science, Machine Learning/AI, Statistics or Applied Mathematics

Tools

Python

Spark

Tableau

NumPy

Pandas

Job description

Summary

A leader in driving the analytics initiatives and development in Bank Islam.

Responsibilities

1. Perform Business and Design Analysis
   • Must perform requirement gatherings and literature review on problem statement.
   • Plan and design methodology to solving problems.
   • Analyse data availability and propose to customers how to provide various datasets.
   • Perform analysis of data sources availability, inform stakeholders of anticipated issues and propose how to provide those various datasets.
2. Perform Statistical, Probability and Visual Analytics
   • ETL capabilities for RDBMS and Big Data with complex joints.
   • Data Exploration with Big and unstructured data.
   • Data preparation and feature engineering with Python, Spark and GPGPU.
   • Able to optimize and accelerate data preparation tasks and feature engineering.
3. Statistical, Probability and Visual Analytics
   • Applying statistical analysis, probability and estimation theory.
   • Visualization of trends, understanding business KPI and perform competitive analysis.
   • Able to visualize trends and perform competitive analysis effectively.
4. Developing Models by incorporating data enrichment
   • Use available tools not limited to NumPy, Pandas, Interactive Plots, TF/Keras, Parallel processing, text processing and using GPGPU for acceleration of tasks.
   • Apply and use Deep Learning and ML Libraries in Python/Pyspark, opensource and Cloud.
   • Build interactive and meaningful dashboard in Python, Cloud and Tableau.
   • Complex Tuning of hyperparameter with search optimization for innovative modelling.
5. Communicating Skill
   • Ability to answer customers' questions independently and share modelling output effectively.
   • Storytelling and produce presentation as self-explanatory.
   • Efficient way of storytelling and producing presentation as self-explanatory with convincing capabilities.
6. Project Management
   • Able to prioritize task and able to identify potential risk in projects.
   • Applying agile to work.
   • Good written and reporting capabilities.
   • Provide good guidance to juniors and good in managing some stakeholders.

Qualifications

Degree in Data Science, Computer Science, Machine Learning/AI, Statistics, or Applied Mathematics

Years of Experience

Minimum 5-7 years

Specific Skills/Knowledge and Certification Required

Strong academic qualifications, with an advanced degree (Masters or PhD) in a quantitative discipline (typically information technology, computer systems, or mathematics) and advanced software certifications.
■ Extensive experience in information technology analytics infrastructure, business systems analysis, business intelligence, application design, development, testing/software QA, implementation, coding, data modeling and reporting.
■ Broad based experience with rapid prototyping & production implementation on large datasets (terabytes/petabytes), being aware of efficient algorithmic design, memory and cpu usage/ scalability.
■ In-depth experience developing advanced models impacting business & derived from business analytics utilizing the landscape of structured, unstructured data, transactional data, text and speech analytics.

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